Justin Johnson
Publications by Year
Research Areas
Imbalanced Data Classification Techniques, Advanced Vision and Imaging, Machine Learning and Data Classification, Electricity Theft Detection Techniques, Multimodal Machine Learning Applications
Most-Cited Works
- → Perceptual Losses for Real-Time Style Transfer and Super-Resolution(2016)9,887 cited
- → Survey on deep learning with class imbalance(2019)2,709 cited
- → CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning(2017)1,763 cited
- → Image retrieval using scene graphs(2015)1,103 cited
- → Image Generation from Scene Graphs(2018)821 cited
- → Mesh R-CNN(2019)460 cited
- → Accelerating 3D deep learning with PyTorch3D(2020)403 cited
- → HexPlane: A Fast Representation for Dynamic Scenes(2023)320 cited
- → Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations(2016)251 cited